"LinkedIn professional networking platform" matching MCP servers:

MCP server for LinkedIn Company Page analytics, providing follower growth, demographics, page views, and engagement stats via the Community Management API.

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

Enables AI agents to access 56 LinkedIn platform and OSINT tools over MCP, including profile, post, messaging, connection, search, feed, and engagement operations plus company discovery, employee scraping, username generation, role classification, org chart building, and email deanonymization. Uses cookie-session authentication with local-harness-only live sessions.

Analyzes LinkedIn profiles for specific companies and roles to extract career patterns and insights using AI.

Analyzes LinkedIn saved jobs with EROI scoring and writes analysis back to a knowledge base for automated reporting.

Enables LinkedIn profile research, post analysis, business signal detection, ICP prospect matching, and sales opportunity discovery through natural language.

Enables users to read and analyze their own LinkedIn posts and shares using OAuth login and LinkedIn's Member Data Portability API. Supports post listing, analysis, draft matching, and engagement enrichment.

Enables access to comprehensive LinkedIn data, including professional profile details, company information, and social engagement metrics. It supports searching for people, retrieving posts and comments, and fetching detailed experience, skills, and recommendations.

Provides tools to research crypto trading strategies via backtesting, walk-forward validation, and paper trading, with a deflated-Sharpe overfitting check. Enables natural-language-driven analysis and interpretation of strategy performance.

Enables AI assistants to directly access quant research knowledge, including factor libraries, strategy backtesting, and research reports, through the MCP protocol.

Enables querying and retrieving materials data from the Materials Project via MCP tools, supporting search, lookup, comparison, and export.

Resolves company domains to their LinkedIn pages, providing exact follower counts and public firmographics such as industry, company size band, headquarters, founded year, and specialties.

MCP server for the Mamba Labs Trustpilot Reputation Enricher actor on Apify. Resolve a company domain to its Trustpilot rating, review count and claimed status.

Provides AI assistants with real-time web search, reasoning, and research capabilities through Perplexity's Sonar models and Search API. Supports quick searches, deep research, advanced reasoning, and direct web search with ranked results.

Enables AI agents to resolve Japanese food names to nutrition facts per 100g based on official Japanese food composition data.

The Materials Project MCP Server is server that provides programmatic access to the Materials Project database. It enables LLMs, to search, analyze, and retrieve up to date materials science data.

Enables AI assistants to access competitive-intelligence signals, reports, and memory through a tenant-scoped MCP endpoint with security controls.

MCP server for Taiwan's agricultural wholesale market real-time price data, providing 6 tools to search products and query trade data at daily, weekly, monthly, yearly granularities, plus cross-market comparisons.

Provides AI assistants with access to Lumenore's analytics capabilities, enabling natural language queries for data insights, advanced analytics (trends, predictions, correlations, outliers), and real-time data processing with zero persistent storage.

Enables AI-powered analysis of healthcare market segments, product comparisons, and sales data insights using natural language processing and retrieval-augmented generation.